v1v2 (latest)

Spectrally-normalized margin bounds for neural networks

26 June 2017

Papers citing "Spectrally-normalized margin bounds for neural networks"

50 / 811 papers shown

Title
Class-Weighted Classification: Trade-offs and Robust Approaches Ziyu Xu Chen Dan Justin Khim Pradeep Ravikumar 73 39 0 26 May 2020
Classification vs regression in overparameterized regimes: Does the loss function matter? Vidya Muthukumar Adhyyan Narang Vignesh Subramanian M. Belkin Daniel J. Hsu A. Sahai 114 151 0 16 May 2020
Computing the Testing Error without a Testing Set C. Corneanu Meysam Madadi Sergio Escalera Aleix M. Martinez AAML 49 71 0 01 May 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks Pranjal Awasthi Natalie Frank M. Mohri AAML 90 58 0 28 Apr 2020
Local Lipschitz Bounds of Deep Neural Networks Calypso Herrera Florian Krach Josef Teichmann 24 3 0 27 Apr 2020
A function space analysis of finite neural networks with insights from sampling theory Raja Giryes 72 6 0 15 Apr 2020
Adversarial Weight Perturbation Helps Robust Generalization Dongxian Wu Shutao Xia Yisen Wang OOD AAML 60 17 0 13 Apr 2020
A Convex Parameterization of Robust Recurrent Neural Networks Max Revay Ruigang Wang I. Manchester 50 4 0 11 Apr 2020
Controllable Orthogonalization in Training DNNs Lei Huang Li Liu Fan Zhu Diwen Wan Zehuan Yuan Bo Li Ling Shao 87 44 0 02 Apr 2020
Harmonic Decompositions of Convolutional Networks M. Scetbon Zaïd Harchaoui 85 7 0 28 Mar 2020
Deep Networks as Logical Circuits: Generalization and Interpretation Christopher Snyder S. Vishwanath FAtt AI4CE 14 2 0 25 Mar 2020
Weak and Strong Gradient Directions: Explaining Memorization, Generalization, and Hardness of Examples at Scale Piotr Zielinski Shankar Krishnan S. Chatterjee ODL 116 2 0 16 Mar 2020
What Information Does a ResNet Compress? L. N. Darlow Amos Storkey SSL 51 12 0 13 Mar 2020
Invariant Causal Prediction for Block MDPs Amy Zhang Clare Lyle Shagun Sodhani Angelos Filos Marta Z. Kwiatkowska Joelle Pineau Y. Gal Doina Precup OffRL AI4CE OOD 123 144 0 12 Mar 2020
Dropout: Explicit Forms and Capacity Control R. Arora Peter L. Bartlett Poorya Mianjy Nathan Srebro 119 38 0 06 Mar 2020
Neural-Swarm: Decentralized Close-Proximity Multirotor Control Using Learned Interactions Guanya Shi Wolfgang Hönig Yisong Yue Soon-Jo Chung 116 65 0 06 Mar 2020
Exactly Computing the Local Lipschitz Constant of ReLU Networks Matt Jordan A. Dimakis 89 112 0 02 Mar 2020
The Implicit and Explicit Regularization Effects of Dropout Colin Wei Sham Kakade Tengyu Ma 118 118 0 28 Feb 2020
Convolutional Spectral Kernel Learning Jian Li Yong Liu Weiping Wang BDL 29 5 0 28 Feb 2020
A Spectral Analysis of Dot-product Kernels M. Scetbon Zaïd Harchaoui 419 2 0 28 Feb 2020
Predicting Neural Network Accuracy from Weights Thomas Unterthiner Daniel Keysers Sylvain Gelly Olivier Bousquet Ilya O. Tolstikhin 71 108 0 26 Feb 2020
Coherent Gradients: An Approach to Understanding Generalization in Gradient Descent-based Optimization S. Chatterjee ODL OOD 117 51 0 25 Feb 2020
De-randomized PAC-Bayes Margin Bounds: Applications to Non-convex and Non-smooth Predictors A. Banerjee Tiancong Chen Yingxue Zhou BDL 86 8 0 23 Feb 2020
On the generalization of bayesian deep nets for multi-class classification Yossi Adi Yaniv Nemcovsky Alex Schwing Tamir Hazan BDL UQCV 16 1 0 23 Feb 2020
On the Role of Dataset Quality and Heterogeneity in Model Confidence Yuan Zhao Jiasi Chen Samet Oymak 53 14 0 23 Feb 2020
The Break-Even Point on Optimization Trajectories of Deep Neural Networks Stanislaw Jastrzebski Maciej Szymczak Stanislav Fort Devansh Arpit Jacek Tabor Kyunghyun Cho Krzysztof J. Geras 88 164 0 21 Feb 2020
Distance-Based Regularisation of Deep Networks for Fine-Tuning Henry Gouk Timothy M. Hospedales Massimiliano Pontil 60 56 0 19 Feb 2020
Predicting trends in the quality of state-of-the-art neural networks without access to training or testing data Charles H. Martin Tongsu Peng Peng Michael W. Mahoney 109 110 0 17 Feb 2020
Stochasticity of Deterministic Gradient Descent: Large Learning Rate for Multiscale Objective Function Lingkai Kong Molei Tao 57 23 0 14 Feb 2020
Generalization and Representational Limits of Graph Neural Networks Vikas Garg Stefanie Jegelka Tommi Jaakkola GNN 108 314 0 14 Feb 2020
Beyond UCB: Optimal and Efficient Contextual Bandits with Regression Oracles Dylan J. Foster Alexander Rakhlin 371 213 0 12 Feb 2020
Topologically Densified Distributions Christoph Hofer Florian Graf Marc Niethammer Roland Kwitt 85 15 0 12 Feb 2020
A Generalized Neural Tangent Kernel Analysis for Two-layer Neural Networks Zixiang Chen Yuan Cao Quanquan Gu Tong Zhang MLT 80 10 0 10 Feb 2020
Quasi-Equivalence of Width and Depth of Neural Networks Fenglei Fan Rongjie Lai Ge Wang 69 11 0 06 Feb 2020
A Deep Conditioning Treatment of Neural Networks Naman Agarwal Pranjal Awasthi Satyen Kale AI4CE 115 16 0 04 Feb 2020
Self-Directed Online Machine Learning for Topology Optimization Changyu Deng Yizhou Wang Can Qin Yun Fu Wei Lu AI4CE 48 76 0 04 Feb 2020
Generative Modeling with Denoising Auto-Encoders and Langevin Sampling Adam Block Youssef Mroueh Alexander Rakhlin DiffM 115 103 0 31 Jan 2020
Identifying Mislabeled Data using the Area Under the Margin Ranking Geoff Pleiss Tianyi Zhang Ethan R. Elenberg Kilian Q. Weinberger NoLa 133 274 0 28 Jan 2020
Target-Embedding Autoencoders for Supervised Representation Learning Daniel Jarrett M. Schaar OOD 56 15 0 23 Jan 2020
DNNs as Layers of Cooperating Classifiers Marelie Hattingh Davel Marthinus W. Theunissen Arnold M. Pretorius E. Barnard 23 7 0 17 Jan 2020
Understanding Generalization in Deep Learning via Tensor Methods Jingling Li Yanchao Sun Jiahao Su Taiji Suzuki Furong Huang 121 28 0 14 Jan 2020
Unsupervised Learning of the Set of Local Maxima Lior Wolf Sagie Benaim Tomer Galanti SSL 43 7 0 14 Jan 2020
On Interpretability of Artificial Neural Networks: A Survey Fenglei Fan Jinjun Xiong Mengzhou Li Ge Wang AAML AI4CE 94 317 0 08 Jan 2020
Revisiting Landscape Analysis in Deep Neural Networks: Eliminating Decreasing Paths to Infinity Shiyu Liang Ruoyu Sun R. Srikant 81 20 0 31 Dec 2019
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems Maarten V. de Hoop Matti Lassas C. Wong 78 26 0 23 Dec 2019
Optimization for deep learning: theory and algorithms Ruoyu Sun ODL 137 169 0 19 Dec 2019
Analytic expressions for the output evolution of a deep neural network Anastasia Borovykh 29 0 0 18 Dec 2019
Statistically Robust Neural Network Classification Benjie Wang Stefan Webb Tom Rainforth OOD AAML 77 19 0 10 Dec 2019
In Defense of Uniform Convergence: Generalization via derandomization with an application to interpolating predictors Jeffrey Negrea Gintare Karolina Dziugaite Daniel M. Roy AI4CE 97 65 0 09 Dec 2019
Efficient Black-box Assessment of Autonomous Vehicle Safety J. Norden Matthew O'Kelly Aman Sinha 89 66 0 08 Dec 2019